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MACER: Attack-free and Scalable Robust Training via Maximizing Certified
  Radius

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

8 January 2020
Runtian Zhai
Chen Dan
Di He
Huan Zhang
Boqing Gong
Pradeep Ravikumar
Cho-Jui Hsieh
Liwei Wang
    OOD
    AAML
ArXivPDFHTML

Papers citing "MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius"

4 / 54 papers shown
Title
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
Membership Leakage in Label-Only Exposures
Membership Leakage in Label-Only Exposures
Zheng Li
Yang Zhang
34
237
0
30 Jul 2020
Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for
  High-Dimensional Images
Random Smoothing Might be Unable to Certify ℓ∞\ell_\inftyℓ∞​ Robustness for High-Dimensional Images
Avrim Blum
Travis Dick
N. Manoj
Hongyang R. Zhang
AAML
31
79
0
10 Feb 2020
MMA Training: Direct Input Space Margin Maximization through Adversarial
  Training
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
G. Ding
Yash Sharma
Kry Yik-Chau Lui
Ruitong Huang
AAML
27
270
0
06 Dec 2018
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